In a notable trend within the AI industry, laboratories are now purchasing data from defunct startups to bolster their model training efforts. This shift reflects a growing recognition of the value of even seemingly insignificant data archives from companies that have ceased operations.
Keelan Miskell, who recently began winding down his crypto startup, discovered that the digital records of his venture could be monetized. Despite the anonymity of the users and the startup’s short lifespan, Miskell successfully sold his code base and anticipates a total revenue of around $25,000 from the data. This case underscores the potential for AI labs to tap into previously overlooked resources to enhance their machine learning capabilities.
The acquisition of data from failed startups not only provides AI developers with unique datasets but also presents a new avenue for entrepreneurs to recoup some of their investments. As the demand for diverse training data continues to rise, this practice may become increasingly common in the AI landscape.
Compiled automatically by the Tech AI Newsdesk from public AI-news sources and summarised in our own words.
